Homework # 5
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2022/3/27 19:06 homework #
Homework # 5
For this assignment (and all assignments in this class), you are to turn in your work as an R Markdown document.
Submit your solutions to GradeScope in PDF format.
Problem 1
For this problem we are going to use the following dataset of sales of season passes to an amusement park in
response to advertising offers. The dataset contains a yes/no attribute indicating whether or not the recipient of
the offer purchased a pass (Pass), an attribute (Promo) indicating whether or not the offer was part of a bundle
that included parking, and an attribute indicating how the offer was delivered (Channel).
season_pass = read.csv("season_pass.csv")
season_pass$Channel = factor(season_pass$Channel, levels=c("Email", "Mail", "Park"))
season_pass$Promo = factor(season_pass$Promo, levels=c("NoBundle", "Bundle"))
season_pass$Pass = factor(season_pass$Pass, levels=c("NoPass", "YesPass"))
head(season_pass)
Channel
<fct>
Promo
<fct>
Pass
<fct>
1 Mail Bundle YesPass
2 Mail Bundle YesPass
3 Mail Bundle YesPass
4 Mail Bundle YesPass
5 Mail Bundle YesPass
6 Mail Bundle YesPass
6 rows
summary(season_pass)
## Channel Promo Pass
## Email: 633 NoBundle:1482 NoPass :
## Mail :1328 Bundle :1674 YesPass:
## Park :
1A) We first want to determine if making the offer as part of a bundle increases the odds that the customer will
purchase the pass. Construct a simple logistic regression model (one predictor) to test this. How much does
including the offer in a bundle increase the odds that it will be purchased?
xxx
2022/3/27 19:06 Homework #
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1B) Now we would like to determine the effect of the channel which the offer is delivered through (email, mail, or
in park). Construct a multiple logistic regression model to test this. What does this model tell us about the
influence of the channel and of including it in a bundle?
xxx
1C) Is there a statistically significant interaction effect between Promo and Channel?
xxx